Tuyển dụng AI ENGINEER

Job Title

AI Engineer

Department

AI Technology Development

Job Type

• Full-time
• Overview
• Design, develop, and deploy advanced AI systems to support the company’s Smart Manufacturing initiatives. This role spans the full AI development lifecycle – from data preprocessing and model development to production deployment – addressing real-world challenges in manufacturing automation, computer vision, and enterprise AI applications.
• Key Responsibilities
• Develop AI/ML/DL solutions, including predictive models, computer vision, and LLM-powered applications.
• Integrate AI applications with Manufacturing Execution Systems (MES) and factory data sources.
• Collaborate with cross-functional teams (Manufacturing, Process Engineering, Quality & Reliability) to translate operational problems into AI-driven solutions.
• Deploy AI models and applications to real-world production environments.
• Develop AI automation workflows that reduce manual effort across manufacturing operations.
• Monitor model performance, identify degradation, and iterate based on feedback from stakeholders.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Stay current with AI research and proactively propose innovative solutions aligned with business goals.
• Required Qualifications
• Bachelor's degree or higher in Computer Science, Data Science, Electrical Engineering, or a related field
• 3-5 years of experience in Software Engineering or AI/ML Engineering
• Strong foundation in Python, data structures, and algorithms
• Hands-on experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Familiarity with LLM applications and prompt engineering.
• Ability to deploy AI models to real-world environments using Docker.
• English proficiency: TOEIC 650+ or equivalent (IELTS / TOEFL iBT accepted)
• Preferred Qualifications
• Experience with Computer Vision libraries and frameworks (OpenCV, YOLO, Cognex) and industrial cameras, interfaces, lenses, lighting, and image acquisition.
• Experience with model optimization or quantization using TensorRT, OpenVINO, or equivalent tools.
• Experience with industrial data platforms, SQL databases, or factory integration.
• Experience with Statistical Process Control (SPC) or manufacturing quality methodologies (Six Sigma, 8D, 5 Whys)
• Application
• CV in English. Contacted candidates will be invited to a two-round interview process: a presentation round (previous job experience, achievements) followed by a technical interview